Supplementary Code for the Paper:

Common Failure Modes of Subcluster-based Sampling in Dirichlet Process Gaussian Mixture Models - and a Deep-learning Solution

This repository contains the code to train the SplitNet models and run in within the DPMMSubCluster.jl package.

• An example notebook with some results (Examples.ipynb) is available.
• To install the run the DPMMSubCluster.jl package, refer to it's documentation.
• To train your own SplitNet models, read the Readme file in the splitnet directory.
• To run Sub-* methods with your own trained models, please update path to the trained models in the config file at DPMMSubClusters.jl/configs/basic.yaml